CORPORATE ECONOMIC SECURITY: ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR COMPREHENSIVE COUNTERPARTY VERIFICATION
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Author(s): | Martynov A. Yu., Ruiga I. R., Smirnov A. I., Teterin Yu. A., |
| Number of journal: | 2(75) | Date: | June 2026 |
| Annotation: | The article is devoted to the study of directions and the development of conceptual recommendations for the implementation of artificial intelligence (AI) technologies in the process of counterparty verification in order to enhance the level of corporate economic security. The relevance of the study is driven by the increasing role of counterparty verification as a key element of the corporate economic security system. In the context of rising transaction costs, stricter tax control (including requirements for commercial prudence), and an increasing volume of procurement activities, traditional counterparty verification services (SPARK, Kontur.Focus, and others) demonstrate limited effectiveness, as they focus on an “abstract” assessment of counterparty reliability without reference to specific contract parameters. The subject of the study is artificial intelligence technologies; the object of the study is the process of counterparty verification within the corporate economic security system. The study identifies key unresolved scientific and practical challenges: the absence of context-dependent verification models, the low level of AI implementation in Russian verification services, the problem of explainability of artificial intelligence solutions (Explainable AI), information security constraints, and the lack of standardized performance metrics. The most relevant AI technologies are identified: machine learning, natural language processing (NLP), graph neural networks (GNNs), generative AI, and computer vision. A hybrid approach to the design of a specialized corporate service is proposed, combining machine learning (gradient boosting), natural language processing (NLP), and an expert system. A conceptual model for the sequential implementation of AI technologies into the corporate economic security system of an industrial enterprise is developed, comprising three stages: (1) automated data collection and NLP analysis; (2) predictive analytics and scoring; (3) governed AI assistant with continuous monitoring. | ||
| Keywords: | corporate economic security, counterparty verification, due diligence, commercial prudence, artificial intelligence, machine learning, natural language processing / NLP, gradient boosting, expert system, governed AI assistant with continuous monitoring, generative artificial intelligence, industrial enterprise |
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| For citation: | Smirnov A. I., Teterin Yu. A., Martynov A. Yu., Ruiga I. R. Corporate economic security: artificial intelligence technologies for comprehensive counterparty verification. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75):130—137. DOI: 10.25683/VOLBI.2026.75.1607. |
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